scholarly journals Multivariate Analyses of Water Quality Dynamics Over Four Decades in the Barataria Basin, Mississippi Delta

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3143
Author(s):  
John W. Day ◽  
Bin Li ◽  
Brian D. Marx ◽  
Dongran Zhao ◽  
Robert R. Lane
Keyword(s):  
Water Quality ◽  
River Water ◽  
Mississippi River ◽  
Principal Component ◽  
Agricultural Runoff ◽  
Trophic State Index ◽  
River Diversion ◽  
Quality Deterioration ◽  
Barataria Basin ◽  
Water Quality Deterioration

Here we examine a combined dataset of water quality dynamics in the Barataria Basin, Louisiana based on transect studies from 1977 to 1978 (Seaton) and from 1994 to 2016. The Davis Pond river diversion into Lake Cataouatche began discharging Mississippi River water into the mid-basin in 2005, and so the later dataset was divided in Pre- and Post-diversion periods. The stations from these three datasets (Seaton, Pre- and Post-diversion) were combined into eleven station groupings for statistical analysis that included ANOVA and principal component analysis. In addition, Trophic State Index (TSI) scores were calculated for each grouping during the three time periods. Lake Cataouatche changed the most with the opening of the Davis Pond river diversion, becoming clearer and less eutrophic with addition of river water, which passed through a large wetland area where sediments were retained before entering the lake. The TSI results for the Seaton re-analysis were very similar to the original analysis and to that of the Pre- and Post-diversion datasets, indicating that the trophic status of the basin waters has remained relatively unchanged. The upper-basin has remained eutrophic with degraded water quality while the lower-basin has remained more mesotrophic without significant water quality deterioration. A main cause of water quality deterioration is agricultural runoff and pervasive hydrologic alteration that bypasses wetlands and causes most runoff to flow directly into water bodies.

scholarly journals Positive effects of COVID-19 lockdown on river water quality: evidence from River Damodar, India

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Baisakhi Chakraborty ◽  
Biswajit Bera ◽  
Partha Pratim Adhikary ◽  
Sumana Bhattacharjee ◽  
Sambhunath Roy ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Ecological Risk ◽  
Risk Index ◽  
Principal Component ◽  
Potential Ecological Risk ◽  
River Water Quality ◽  
Trophic State Index ◽  
River Health ◽  
Positive Effects

AbstractThe global economic activities were completely stopped during COVID-19 lockdown and continuous lockdown partially brought some positive effects for the health of the total environment. The multiple industries, cities, towns and rural people are completely depending on large tropical river Damodar (India) but in the last few decades the quality of the river water is being significantly deteriorated. The present study attempts to investigate the river water quality (RWQ) particularly for pre- lockdown, lockdown and unlock period. We considered 20 variables per sample of RWQ data and it was analyzed using novel Modified Water Quality Index (MWQI), Trophic State Index (TSI), Heavy Metal Index (HMI) and Potential Ecological Risk Index (RI). Principal component analysis (PCA) and Pearson’s correlation (r) analysis are applied to determine the influencing variables and relationship among the river pollutants. The results show that during lockdown 54.54% samples were brought significantly positive changes applying MWQI. During lockdown, HMI ranged from 33.96 to 117.33 with 27.27% good water quality which shows the low ecological risk of aquatic ecosystem due to low mixing of toxic metals in the river water. Lockdown effects brought river water to oligotrophic/meso-eutrophic condition from eutrophic/hyper-eutrophic stage. Rejuvenation of river health during lockdown offers ample scope to policymakers, administrators and environmentalists for restoration of river health from huge anthropogenic stress.

scholarly journals Seasonal Dynamics of Surface Water Quality and River Water Quality Deterioration in an Urban Area of Mongolia

2021 ◽  
Vol 57 (4) ◽  
pp. 91-102
Author(s):  
OTGONBAYAR ZAGDRAGCHAA ◽  
ALTANTUYA BOLD ◽  
TAKESHI MIZUNOYA ◽  
HELMUT YABAR ◽  
MOTOO UTSUMI ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Water ◽  
Urban Area ◽  
Seasonal Dynamics ◽  
Surface Water Quality ◽  
River Water Quality ◽  
Quality Deterioration ◽  
Water Quality Deterioration

Using historical data to identify future water quality trends at a regional scale

2020 ◽  
Author(s):  
Anna Lintern ◽  
Natalie Kho ◽  
Danlu Guo ◽  
Shuci Liu ◽  
Clement Duvert
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
River Water ◽  
Historical Data ◽  
River Water Quality ◽  
Quality Deterioration ◽  
Droughts And Floods ◽  
Extreme Hydrological Events ◽  
Water Quality Trends ◽  
Water Quality Deterioration

<p>Using historical data to identify future water quality trends</p><ol><li>Lintern</li> <li>Kho</li> <li>Guo</li> <li>Liu</li> <li>Duvert</li> </ol><p> </p><p>Climate change is expected to have a severe impact on water resources management in Australia. This is expected to lead to increasing frequency in extreme hydrological events such as droughts and floods, which will in turn contribute to higher risks of bushfires, fish kills, and water shortage for both humans and the environment. The potential impacts of these climate-change-induced extreme events on the quantity of water available to humans and the environment are relatively well understood. However, we have little understanding of the effect on the water quality of Australian rivers. This project aims to start filling this gap in our understanding.</p><p>Our key objectives are:</p><p>(1) to identify how extreme hydrological events such as droughts and floods have affected river water quality over the last two decades, and explore how spatially variable these impacts have been across the Australian continent.</p><p>(2) to use these past observations as a basis to predict how river water quality will be affected by climate change across the continent, and identify the locations within Australia that will be most vulnerable to water quality deterioration in the near future.</p><p>There is a wealth of historical water quality data for each state in Australia, but these datasets have not yet been investigated systematically to develop a nation-wide understanding of water quality patterns. We believe that only a continental-scale understanding of the response of river water quality to extreme hydrological events will allow for the development of robust predictive models of climate change impacts on water quality. Knowing the potential hotspots for future water quality deterioration will be a key step towards identifying priorities for catchment planning and management.</p><p>In this poster, we will present the preliminary findings of this project by detailing the spatial variability in the impact of hydrological events on water quality across the state of Victoria in South-East Australia.</p>

scholarly journals Long-Term River Water Quality Trends and Pollution Source Apportionment in Taiwan

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1394 ◽  
Author(s):  
Marsha Putri ◽  
Chao-Hsun Lou ◽  
Mat Syai’in ◽  
Shang-Hsin Ou ◽  
Yu-Chun Wang
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Heavy Metal ◽  
Cluster Analysis ◽  
River Water ◽  
Principal Component ◽  
Pollution Level ◽  
Metal Levels ◽  
Metal Monitoring

The application of multivariate statistical techniques including cluster analysis and principal component analysis-multiple linear regression (PCA-MLR) was successfully used to classify the river pollution level in Taiwan and identify possible pollution sources. Water quality and heavy metal monitoring data from the Taiwan Environmental Protection Administration (EPA) was evaluated for 14 major rivers in four regions of Taiwan with the Erren River classified as the most polluted river in the country. Biochemical oxygen demand (6.1 ± 2.38), ammonia (3.48 ± 3.23), and total phosphate (0.65 ± 0.38) mg/L concentration in this river was the highest of the 14 rivers evaluated. In addition, heavy metal levels in the following rivers exceeded the Taiwan EPA standard limit (lead: 0.01, copper: 0.03, and manganese: 0.03) mg/L concentration: lead-in the Dongshan (0.02 ± 0.09), Jhuoshuei (0.03 ± 0.03), and Xinhuwei Rivers (0.02 ± 0.02) mg/L; copper: in the Dahan (0.036 ± 0.097), Laojie (0.06 ± 1.77), and Erren Rivers are (0.05 ± 0.158) mg/L; manganese: in all rivers. A total 72% of the water pollution in the Erren River was estimated to originate from industrial sources, 16% from domestic black water, and 12% from natural sources and runoff from other tributaries. Our research demonstrated that applying PCA-MLR and cluster analysis on long-term monitoring water quality would provide integrated information for river water pollution management and future policy making.

scholarly journals Water Quality Modeling of Bhima River by using HEC-RAS Software

2020 ◽  
Vol 9 (3) ◽  
pp. 2886-2889
Keyword(s):  
Water Quality ◽  
River Water ◽  
Hydrodynamic Model ◽  
Algal Blooms ◽  
Agricultural Runoff ◽  
Water Quality Modeling ◽  
Water Quality Model ◽  
River Water Quality ◽  
Water Levels ◽  
Quality Model

The River has got religious importance in India. The Bhima River is beginning from Bhimashankar hill and it flows through some parts of Maharashtra and Karnataka state. The assessment of water quality for the development of the places near the bank of River is important. These is controlled by various manmade activities. The quality of river water resources is facing problems because of the continuous agricultural runoff, development and urbanization. Due to mixing of nutrients causes algal blooms, which results eutrophication. The modeling of water quality can be deliberated as useful tool for assessing river water. Bhima River is demarcated as a major and important water body located in Pandharpur, dist. Solapur, Maharashtra. As Pandharpur is having historical background and known as one of the famous Holly places in Maharashtra, this place is facing huge population fluctuation due to migrated pilgrims and rapid growth of urbanization. These two things detrimentally affect River water quality. The main objective of current study was to develop a hydrodynamic model combined with river water quality model for the Bhima River to measure and recognize the processes harmful for the River. For Bhima River a hydrodynamic model was constructed using the HEC-RAS 4.1 software combined with a river water quality model to estimate the amount, distribution and sources of algae, nitrate and temperature. The river model has standardized with the help of previous water levels near the Pandharpur region. It has standardized and calibrated for the assessed parameters by competing them with the present data. The result showed a relationship between DO and temperature range. DO level in Pandharpur and Gopalpur were observed to be fluctuating with respective temperature and during Vari season. However, wastewater discharge from Nalha in sample station 3 i.e. Goplapur shows slit changes in DO and due to this there is necessity to learn other parameters also.

scholarly journals Evaluation of the River-Shallow Aquifer Exchange Process Effect on Surface Water Quality Deterioration

2017 ◽  
Vol 05 (06) ◽  
pp. 121-132
Author(s):  
Ismail Karaoui ◽  
Abdelkrim Arioua ◽  
Abdelkhalek El Amrani Idrissi ◽  
Wafae Nouaim ◽  
Driss Elhamdouni ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Exchange Process ◽  
Surface Water Quality ◽  
Shallow Aquifer ◽  
Quality Deterioration ◽  
Water Quality Deterioration
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